E-LIB Suche - Ergebnisse für: Rakotomamonjy, Alain

1

Adversarial Sample Detection Through Neural Network Transpo..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,

Karkar, Skander ; Gallinari, Patrick ; Rakotomamonjy, Alain - p. 164-181 , 2023

2

Approximating dynamic time warping with a convolutional neu..:

Lerogeron, Hugo ; Picot-Clémente, Romain ; Rakotomamonjy, Alain.
Pattern Recognition Letters. 171 (2023) - p. 162-169 , 2023

Link: https://doi.org/10.1016/..

3

Learning an autoencoder to compress EEG signals via a neura..:

Lerogeron, Hugo ; Picot-Clémente, Romain ; Heutte, Laurent.
Procedia Computer Science. 222 (2023) - p. 448-457 , 2023

Link: https://doi.org/10.1016/..

4

Theoretical guarantees for bridging metric measure embeddin..:

Alaya, Mokhtar Z. ; Bérar, Maxime ; Gasso, Gilles.
Neurocomputing. 468 (2022) - p. 416-430 , 2022

Link: https://doi.org/10.1016/..

5

Unsupervised domain adaptation with non-stochastic missing ..:

Kirchmeyer, Matthieu ; Gallinari, Patrick ; Rakotomamonjy, Alain.
Data Mining and Knowledge Discovery. 35 (2021) 6 - p. 2714-2755 , 2021

Link: https://doi.org/10.1007/..

6

Online multimodal dictionary learning:

Traoré, Abraham ; Berar, Maxime ; Rakotomamonjy, Alain
Neurocomputing. 368 (2019) - p. 163-179 , 2019

Link: https://doi.org/10.1016/..

7

Wasserstein discriminant analysis:

Flamary, Rémi ; Cuturi, Marco ; Courty, Nicolas.
Machine Learning. 107 (2018) 12 - p. 1923-1945 , 2018

Link: https://doi.org/10.1007/..

8

Optimal Transport for Domain Adaptation:

Courty, Nicolas ; Flamary, Remi ; Tuia, Devis.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 39 (2017) 9 - p. 1853-1865 , 2017

Link: https://doi.org/10.1109/..

9

Greedy Methods, Randomization Approaches, and Multiarm Band..:

Rakotomamonjy, Alain ; Koco, Sokol ; Ralaivola, Liva
IEEE Transactions on Neural Networks and Learning Systems. 28 (2017) 11 - p. 2789-2802 , 2017

Link: https://doi.org/10.1109/..

10

Supervised Representation Learning for Audio Scene Classifi..:

Rakotomamonjy, Alain
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25 (2017) 6 - p. 1253-1265 , 2017

Link: https://doi.org/10.1109/..

11

Supervised Representation Learning for Audio Scene Classifi..:

Rakotomamonjy, Alain ; Rakotomamonjy, Alain
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 25 (2017) 6 - p. 1253-1265 , 2017

Link: https://dl.acm.org/doi/1..

12

Histogram of gradients of time-frequency representations fo..:

Rakotomamonjy, Alain ; Gasso, Gilles
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP). 23 (2015) 1 - p. 142-153 , 2015

Link: https://dl.acm.org/doi/1..

13

Histogram of gradients of Time-Frequency Representations fo..:

Rakotomamonjy, Alain ; Gasso, Gilles
IEEE/ACM Transactions on Audio, Speech, and Language Processing. , 2014

Link: https://doi.org/10.1109/..

14

ℓp-norm multiple kernel learning with low-rank kernels:

Rakotomamonjy, Alain ; Chanda, Sukalpa
Neurocomputing. 143 (2014) - p. 68-79 , 2014

Link: https://doi.org/10.1016/..

15

Scattering features for lung cancer detection in fibered co..:

Rakotomamonjy, Alain ; Petitjean, Caroline ; Salaün, Mathieu.
Artificial Intelligence in Medicine. 61 (2014) 2 - p. 105-118 , 2014

Link: https://doi.org/10.1016/..